Sas Programming 2 Data Manipulation Techniques Pdf 17 Link

PROC TRANSPOSE DATA=sales OUT=sales_transposed; BY region; ID salesrep; VAR sales; RUN; The MERGE statement is used to combine two or more SAS datasets based on a common variable.

DATA sales_array; ARRAY sales-array 4 sales1 sales2 sales3 sales4; DO i = 1 to 4; sales-array(i) = sales * i; END; RUN; The DO LOOP statement is used to execute a block of statements repeatedly.

DATA output-dataset; MERGE dataset1 dataset2 ...; BY variable; RUN; Sas Programming 2 Data Manipulation Techniques Pdf 17

DATA dataset-name; INPUT variable1 variable2 ...; LABEL variable1 = 'label1' variable2 = 'label2' ...; FORMAT variable1 format1 variable2 format2 ...; INFILE 'file-name'; /* data manipulation statements */ RUN;

DATA sales; INPUT region $ salesrep $ sales amount; LABEL region = 'Region' salesrep = 'Sales Representative' sales = 'Sales Amount'; FORMAT sales dollar10.2; INFILE 'sales_data.txt'; /* data manipulation statements */ RUN; The PROC SORT procedure is used to sort a SAS dataset in ascending or descending order. DATA output-dataset; ARRAY array-name n variable1 variable2

DATA output-dataset; ARRAY array-name n variable1 variable2 ...; /* array manipulation statements */ RUN;

PROC DATATYPE DATA=dataset-name; CHANGE variable1 = new-type variable2 = new-type ...; RUN; ARRAY array-name n variable1 variable2 ...

In this paper, we have discussed various data manipulation techniques in SAS programming, including DATA step, PROC SORT, PROC DATATYPE, PROC TRANSPOSE, MERGE, UPDATE, ARRAY, and DO LOOPS. These techniques are essential for any SAS programmer to manipulate and prepare data for analysis. With practice and experience, SAS programmers can efficiently use these techniques to manage and analyze large datasets.